Volume 12 | Issue 4 |

 Abstract

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Conservation, Dispersion pattern, Eastern Ghats, Population structure and Seshachalam Biosphere Reserve.

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Creative Commons Attribution 4.0 and The Open Definition

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Bridge construction today has achieved a worldwide level of importance. Extension development today has accomplished an overall dimension of significance. Extensions are the key components in any street system and utilization of strengthened support type spans picking up notoriety in scaffold building organization in light of its better security, functionality, economy, stylish appearance and auxiliary effectiveness. By and large for long range Box brace spans are progressively basic proficient. Box support opposes the torsional unbending nature and appropriate for critical bend. For this investigation, four distinctive scaffold supports are viewed as specifically Rectangular Single and Double cell Box Girder (RSBG and RDBG), Trapezoidal Single and Double cell Box Girder (TSBG and TDBG) of ranges 20 m, 30 m, 40m and 50m. Direct Static and Modal Analysis are performed on all the considered extension supports utilizing Staad Pro connect wizard. IRC Class AA Tracked Loading framework is considered for the examination. A near give an account of dynamic Characteristics of all the considered extension braces utilizing Staad Pro.

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Stiffness, modal analysis, Linear Static analysis, loading system, Dynamic Characteristics.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper investigates the consumer perception towards e-banking in kumaun region of Uttarakhand. E-banking, also known as electronic banking refers to the use of digital platforms and technologies by banks to provide financial services to their customers. The objective of this study is to analyze the attitudes, preferences, and satisfaction levels of consumers in kumaun region towards e-banking services offered by various banks. The research employs a quantitative approach, utilizing a structured questionnaire to collect data from a sample of bank customers in the district. The questionnaire includes items related to the awareness and usage of e-banking services, perceived benefits, and risks, ease of use, security concerns, and overall satisfaction. The collected data will be analyzed using statistical techniques to identify patterns and trends in consumer perception towards e-banking. The findings of this study will contribute to a better understanding of consumer behavior in the context of e-banking and provide insights for banks and policymakers to improve their e-banking services.

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 Keywords

e-banking, consumer perception, kumaun region, Uttarakhand, attitudes, preferences, satisfaction, awareness, usage, benefits, risks, ease of use, security concerns, consumer behavior, digital banking.

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Creative Commons Attribution 4.0 and The Open Definition

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The aim of the current study is to formulate herbal tablets containing Butea Monosperma flower powder by direct compression method by using suitable excipients. Butea Monosperma flower contain anti-diarrheal, anthelmintic, anti-diabetic, anti-stress, hepatoprotective, antifungal, astringent, laxative and stomach pain relieving activity, etc activities. These flowers of Butea Monosperma are dried for 3-4 day under sun light and size is reduced by using mixer grinder and converted to coarse powder and passed through sieve no. #100, #80, #60, #44. This collected powder and various excipient are used for preparing tablets. These prepared tablets were evaluated by using different evaluation tests like hardness, thickness, friability, weight variation. The powder was free from all kind of microorganisms and antimicrobial activity performed showed that flowers of plant Butea Monosperma did not show antimicrobial activity against gram positive organism staphylococcus aureus and bacillus subtills and E coli.

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Butea Monosperma, Palash, Abdominal pain, Staphylococcus Aureus, Digestive issue.

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Creative Commons Attribution 4.0 and The Open Definition

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Delving into the captivating realm of Gothic literature, this abstract explores the dark and mysterious allure of a genre that has captivated readers for centuries. The hauntingly beautiful world of Gothic fiction is characterized by its atmospheric settings, supernatural elements, and exploration of the human psyche. As we traverse through the shadows of castles, catacombs, and ancient manors, we uncover themes of isolation, fear, and the struggle between good and evil. The Haunting Melodies of the Graveyard's Whispers in the realm of Gothic fiction, the graveyard serves as a symbolic backdrop, evoking a sense of eeriness, melancholy, and the inevitable march of time. This dark literary genre delves into the complexities of human emotions, often exploring themes of death, guilt, and the supernatural. The use of graveyards in Gothic narratives amplifies these themes, as the setting embodies the transient nature of life and and the inescapable reality of mortality. Through the exploration of the graveyard's haunting melodies, Gothic fiction illuminates the psychological impact of confronting one's own morality and the mysteries that lie beyond the veil of death. The abstract aims to shed light on the enduring influence of Gothic fiction, its profound impact on both literature and popular culture, and the timeless appeal it holds for generations of readers.

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Delving into the captivating realm of Gothic literature

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Creative Commons Attribution 4.0 and The Open Definition

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Brain signal- grounded emotion discovery holds significant pledge in revolutionizing. the opinion and operation of colorful medical conditions .(Greene et al., 2016) Traditional styles of emotion identification, similar as facial expressions, may encounter challenges with limited triggers, emotional disguises, or conditions like alexithymia.(Haak et al., 2009) This study explores the eventuality of exercising electroencephalogram( EEG) data to crack emotional countries by assaying constant brainwaves, furnishing perceptivity into feelings that individualities might struggle to articulate verbally.(Baceviciute et al., 2022) The exploration focuses on assaying time data from EEG detector channels and conducting relative assessments of colorful machine literacy ways. The study evaluates machine literacy algorithms, including Support Vector Machine( SVM), K- nearest Neighbor, Linear Discriminant Analysis, Logistic Regression, and Decision Trees. Both with and without top element analysis( PCA) for dimensionality reduction, these ways are tested.(Hagemann & Naumann, 2001) To optimize the models, grid hunt and hyperactive- parameter tuning are enforced, using a Spark cluster to reduce prosecution time. The DEAP Dataset, a multimodal dataset designed for probing mortal affective countries, is employed for this disquisition.(Nunez et al., 2016) Using party- assigned markers for 40 1- nanosecond musical extracts, prognostications are generated grounded on emotional attributes similar as thrill, valence, likability, dominance, and familiarity.(Porbadnigk et al., 2011) The study focuses on training double class classifiers for each of the four emotional classes using time- segmented, 15-alternate intervals of time data. specially, the segmentation performance is maximized using PCA in confluence with SVM, achieving an F1- score of84.73 and a recall rate of98.01 in the 30th to 45th segmentation interval.

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 Keywords

Emotional model , EEG, Signal, Face recognition , Feature extraction,

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Commodity Analyzer is a mobile application that helps the farmers and traders by providing real-time market prices, predictive analytics, direct communication with buyers, and access to agricultural news. This App includes various features that allow users to make informed decisions, optimize selling techniques, and remain updated on market trends. By providing accurate pricing information and allowing for direct contacts with buyers, the app decreases reliance on intermediaries, lowers the danger of price exploitation, and broadens market access. The implementation of predictive analytics allows farmers and traders to anticipate market volatility and adjust their strategy accordingly, reducing risks and increasing profits. Furthermore, access to agricultural news keeps clients up to date on the most recent advances in farming methods, weather forecasts, and modifications to regulations, allowing them to adjust to fluctuating conditions and maximize productivity. Overall, the mobile app is a transformative tool that uses technology to empower farmers and local traders, earn economic growth, and promote agricultural sustainability.

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Creative Commons Attribution 4.0 and The Open Definition

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Farmers, Agriculture, Traders, Mobile app

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Under the overall structure of the creative industries, this paper examines the state of the art in artificial intelligence (AI) technologies along with its applications. An overview of artificial intelligence (AI), with a focus on machine learning (ML) algorithms used to generate images. The creative processes in the visual arts are significantly impacted by this quickly developing field of artificial intelligence (AI) and image creation technologies. The increasing number of artistic applications and research projects at the nexus of AI and art AI is utilized to create new works of art and for creative reasons.

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Artificial intelligence, Machine Learning, Stable Diffusion

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Creative Commons Attribution 4.0 and The Open Definition

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This work deals with the implementation of Simple Algorithm for detection of range and shape of tumor in brain MR images and identifies stage of tumor from the given area of tumor. Tumor is an uncontrolled growth of tissues in any part of the body. Tumors are of different types and they have different Characteristics and different treatment. As it is known, brain tumor is inherently serious and life- threatening because of its character in the limited space of the intracranial cavity (space formed inside the skull). Most Research in developed countries show that the number of people who have brain tumors were died due to the fact of inaccurate detection. Generally, CT scan or MRI that is directed into intracranial cavity produces a complete image of brain.After researching a lot statistical analysis which is based on those people whose are affected in brain tumor some general Risk factors and Symptoms have been discovered. The development of technology in science day night tries to develop new methods of treatment. This image is visually examined by the physician for detection & diagnosis of brain tumor. However this method accurate determines the accurate of stage & size of tumor and identifies stage of tumor from the area of tumor. This work uses segmentation of brain tumor based on the k-means algorithms.This method allows the segmentation of tumor tissue with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis and identifies stage of tumor from the given area of tumor. Finally implement a system using java to identify stage of tumor which is easier, cost reducible and time savable.

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MRI Image,Stages of tumor,Area of tumor,Tumor on control growth,Different treatment,Diagnosis of brain tumor

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This floor cleaning robot, also known as a clean sweep robot, is equipped with a rotating cotton rope mop attached to a motorized mechanism. It autonomously navigates within walls, avoiding obstacles using IR sensors. It has three DC motors for movement and one for water sprinkling. A mini water tanker with a high-pressure pump sprays water intermittently. Control is managed by an 89c52 microcontroller. The system requires a high-power rechargeable battery.

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Creative Commons Attribution 4.0 and The Open Definition

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Floor cleaning robot, Autonomous navigation, Revolving cotton rope mop, IR sensors, High pressure water pumping motor.

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Creative Commons Attribution 4.0 and The Open Definition